by 05 September 2020, 12PM.

Overview

Row

New cases

6

Active cases

150

Total cases

9391

cases per 100,000 persons

28.74

days to double the number of total cases

1066.83

Row

New deaths

0

Total deaths

128

deaths per 1000 cases

13.63

Row

in ICU

5

require breathing support

3

Row

Recovered

21

Total recovered

9113

recovered per 1000 cases

970.4

Row

Sources: Director-General of Health Malaysia and Department of Statistics Malaysia.

Cases

Row

new cases today

6

new cases expected tomorrow

6

additional new cases expected in 3 days

18

additional new cases expected in a week

41

total cases today

9391

total cases expected in a week

9432

Row

New cases, hover/tap on the graph for details.

Total cases, hover/tap on the graph for details.

Row

Significant factors: 1. Days since Tabligh gathering (Rate ratio: 1.36 [95% CI: 1.29, 1.46] per day), 2. Days since movement control order (Rate ratio: 0.72 [95% CI: 0.67, 0.76] per day), 3. Days since conditional movement control order (Rate ratio: 1 [95% CI: 0.98, 1.02] per day), 4. Days since recovery movement control order (Rate ratio: 1 [95% CI: 0.99, 1.02] per day) based on a quasipoisson regression model.

Deaths

Row

new deaths today

0

new deaths expected tomorrow

0

additional new deaths expected in 3 days

0

additional new deaths expected in a week

0

total deaths today

128

total deaths expected in a week

128

Row

New deaths, hover/tap on the graph for details.

Total deaths, hover/tap on the graph for details.

Row

Significant factor: 1. Number of cases in ICU (Rate ratio: 1.03 (95% CI: 1.03, 1.04) per increase in case in ICU).

Cases by State

Row

New cases, hover/tap on the graph for details.

Total cases, hover/tap on the graph for details.

Deaths by State

Row

New deaths, hover/tap on the graph for details.

Total deaths, hover/tap on the graph for details.

Data and Our Team

Row

The data are sourced from:

Epidemiology Modelling Team members, School of Medical Sciences, Universiti Sains Malaysia (USM):

Department of Community Medicine:

  • Assoc. Prof. Dr. Kamarul Imran Musa (Dr. KIM)
  • Dr. Mohd Azmi B. Suliman
  • Dr. Mohamad Zarudin B Mat Said
  • Dr. Wira Alfatah B Ab Ayah @ Ab Aziz
  • Dr. Che Muhammad Nur Hidayat B Che Nawi
  • Dr. Afiqah Syamimi Bt Masrani
  • Mr. Tengku Muhammad Hanis B Tengku Mokhtar

Biostatistics and Research Methodology Unit:

Jabatan Kesihatan Negeri, Pahang:

  • Dr. Sahrol Azmi

Pusat Data PPKT Kampus Kesihatan:

  • Mohd Fadzali Bakar
  • Mohd Faizal Abdul Manaf
  • Ahmad Syakiren Mazalan

Disclaimer: We and USM are not responsible for any damage or inconvenience caused directly or indirectly by the use of this dashboard.

We built this dashboard using

  • RStudio

  • Packages:

    • flexdashboard
    • ggplot2
    • plotly
    • broom